Results 131 to 140 of about 3,324,545 (359)
Cistercian architecture or architecture of the Cistercians? [PDF]
ispartof: The Cambridge Companion to the Cistercian Order pages:151 ...
openaire +3 more sources
Architecture and the Environment
ISSN:2050 ...
Hochhäusl, Sophie+14 more
openaire +6 more sources
Closing the gap in plan quality: Leveraging deep‐learning dose prediction for adaptive radiotherapy
Abstract Purpose Balancing quality and efficiency has been a challenge for online adaptive therapy. Most systems start the online re‐optimization with the original planning goals. While some systems allow planners to modify the planning goals, achieving a high‐quality plan within time constraints remains a common barrier.
Sean J. Domal+9 more
wiley +1 more source
Abstract Purpose Studies on deep learning dose prediction increasingly focus on 3D models with multiple input channels and data augmentation, which increases the training time and thus also the environmental burden and hampers the ease of re‐training. Here we compare 2D and 3D U‐Net models with clinical accepted plans to evaluate the appropriateness of
Rosalie Klarenberg+2 more
wiley +1 more source
Reliable multicast in large enterprise networks [PDF]
In this work, we have presented a complete end-end architecture to employ the rate-less codes. We have developed a new architecture Rate-less Codes Multicast (RCNC). This architecture is shown to provide high throughput gains, reliability and near optimal throughput performance.
arxiv
Hardware radial basis function neural network automatic generation
This paper presents a parallel architecture for a radial basis function (RBF) neural network used for pattern recognition. This architecture allows defining sub-networks which can be activated sequentially.
Lucas Leiva, Nelson Acosta
doaj
XXXI.—On the architectural achievements of little masons, Annelidan (?) and Rhizopodan, in the Abyss of the Atlantic [PDF]
Alfred Merle Norman
openalex +1 more source
Apparatisation in & of Architecture
SPOOL, Vol. 6 No.
Lee, S. (author), Bier, H.H. (author)
openaire +6 more sources
Abstract Background This study aims to develop a novel predictive model for determining human papillomavirus (HPV) presence in oropharyngeal cancer using computed tomography (CT). Current image‐based HPV prediction methods are hindered by high computational demands or suboptimal performance.
Junhua Chen+3 more
wiley +1 more source
Abstract Current radiotherapy practices rely on manual contouring of CT scans, which is time‐consuming, prone to variability, and requires highly trained experts. There is a need for more efficient and consistent contouring methods. This study evaluated the performance of the Varian Ethos AI auto‐contouring tool to assess its potential integration into
Robert N. Finnegan+6 more
wiley +1 more source